Data Engineer - AI Platform

Placements24; Mossel Bay; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Modern data stack

Professional development

Job summary

Placements24 is seeking a talented Data Engineer to build and maintain the data infrastructure for its AI Platform in Mossel Bay. You will design scalable data pipelines, data warehouses, and data lakes to support AI model development and deployment.

The role requires collaborating with AI researchers and ML engineers, ensuring data reliability and performance while enabling streamlined data access for analytics and experimentation in Mossel Bay.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering or a similar role.
• Strong proficiency in SQL and experience with at least one programming language (e.g., Python, Scala, Java).
• Hands-on experience with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud data services (AWS, Azure, GCP).
• Familiarity with data warehousing concepts and database design principles.

Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Build robust ETL/ELT pipelines to ingest and transform data from various sources for AI/ML use cases.
• Develop and manage data warehouses and data lakes, ensuring data quality and integrity.
• Optimize data architecture and database performance for efficient querying and analysis.
• Collaborate with data scientists and ML engineers to understand their data needs and provide appropriate solutions.

Skills

SQL

Programming

Education

Bachelor's degree in CS/Engineering

Tools

Spark

Hadoop

Kafka

Cloud platforms (AWS/Azure/GCP)

Job description

About the Role

Our client is seeking a talented and motivated Data Engineer to build and maintain the core data infrastructure for their AI Platform in Mossel Bay. This role is essential for enabling the development and deployment of advanced AI models by ensuring data is accessible, reliable, and optimized. You will work closely with AI researchers, machine learning engineers, and data scientists to design and implement scalable data pipelines, data warehouses, and data lakes. This is an excellent opportunity for a data professional who enjoys tackling challenging data problems and contributing to the success of cutting‑edge AI initiatives.

Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Build robust ETL/ELT pipelines to ingest and transform data from various sources for AI/ML use cases.
• Develop and manage data warehouses and data lakes, ensuring data quality and integrity.
• Optimize data architecture and database performance for efficient querying and analysis.
• Collaborate with data scientists and ML engineers to understand their data needs and provide appropriate solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering or a similar role.
• Strong proficiency in SQL and experience with at least one programming language (e.g., Python, Scala, Java).
• Hands‑on experience with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud data services (AWS, Azure, GCP).
• Familiarity with data warehousing concepts and database design principles.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with modern data stack and advanced AI technologies in Mossel Bay.
• Professional development and training opportunities.
• Supportive team environment focused on innovation.
• Flexible work arrangements to promote work-life balance.